YoVDO

Technical Interview Practice with Python

Offered By: Codecademy

Tags

Python Courses Dynamic programming Courses Linked Lists Courses

Course Description

Overview

Hone your coding skills by practicing with industry standard technical interview problems!

#### Why practice technical interview problems in Python?
You'll need to pass a technical interview if you want to be hired for a technical role. Don't worry — these interviews are pretty predictable, and the same kinds of problems appear again and again. Even if you don't have a technical interview scheduled just yet, practicing these common problems will help you grow as a programmer and problem solver, and will help you write cleaner and better code.

#### Take-Away Skills:
After completing this course, you'll be ready to ace coding interviews anywhere and you'll write more efficient code!

#### Note on Prerequisites:
A basic understanding of Python is required to start this course, and any more advanced prerequisites will be noted along the way.

Syllabus

  • Technical Interviews: Whiteboarding: Practice your whiteboarding skills and learn how to break a technical interview problem down into manageable pieces.
    • Lesson: Technical Interviews: Whiteboarding
    • Quiz: Technical Interviews: Whiteboarding
  • Technical Interview Problems: Lists: A collection of common interview problems that use the Python List, and strategies for how to construct optimal solutions.
    • Lesson: Technical Interview Problems in Python: Lists
    • Quiz: Technical Interview Problems: Lists Quiz
    • Project: Capturing Rain Water
  • Technical Interview Problems: Linked Lists: A collection of common interview problems that use the linked list data structure, and strategies for how to construct optimal solutions.

    • Lesson: Technical Interview Problems in Python: Linked Lists
    • Quiz: Technical Interview Problems in Python: Linked Lists Quiz
  • Technical Interview Techniques: Dynamic Programming: Dynamic Programming is a technique we can apply to difficult questions that ask us to maximize a value given many options or constraints.
    • Lesson: Technical Interview Problems: Dynamic Programming
    • Quiz: Dynamic Programming Quiz
    • Project: Longest Common Subsequence

Taught by

Eva Sibinga

Related Courses

Artificial Intelligence for Robotics
Stanford University via Udacity
Intro to Computer Science
University of Virginia via Udacity
Design of Computer Programs
Stanford University via Udacity
Web Development
Udacity
Programming Languages
University of Virginia via Udacity